CN110619453A - Airport flight wave identification method and system based on transit flight - Google Patents

Airport flight wave identification method and system based on transit flight Download PDF

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CN110619453A
CN110619453A CN201910688256.9A CN201910688256A CN110619453A CN 110619453 A CN110619453 A CN 110619453A CN 201910688256 A CN201910688256 A CN 201910688256A CN 110619453 A CN110619453 A CN 110619453A
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flight
departure
flights
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黄洁
王姣娥
王微
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Institute of Geographic Sciences and Natural Resources of CAS
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Abstract

The embodiment of the invention provides an airport flight wave identification method and system based on transit flights. The method comprises the steps of obtaining a flight schedule of an airport to be identified; screening flights of which each arrival time or departure time falls into any time window from a flight schedule, and respectively creating an arrival flight data set and a departure flight data set; based on the arrival flight data set and the departure flight data set, performing connectivity detection according to the type of the transit flights and the preset transit time interval to obtain the number of transit arrival flights and the number of transit departure flights corresponding to any time window; and acquiring an airport flight wave system identification result based on the change rule of the number of the transferable arriving flights and the number of the transferable departing flights corresponding to each time window. According to the embodiment of the invention, the arriving flight and the departing flight meeting the corresponding conditions are screened in the time window range, the effective transfer connection flight data set is established, and then the airport flight wave system is identified, so that the accuracy of flight wave identification is greatly improved.

Description

Airport flight wave identification method and system based on transit flight
Technical Field
The invention relates to the technical field of data processing, in particular to an airport flight wave identification method and system based on transit flights.
Background
The flight wave refers to the change rule of the arrival wave and the departure wave basically synchronized and shown by the centralized arrangement of the inbound flights and the outbound flights of the airline company at the airport. The effective connection of the arrival flight and the departure flight of the airport is beneficial to the formation of flight waves, and the flight waves are the objective reflection of the compact transit connection of the airline company in the airport.
The study of the flight wave changes the connectivity of the air transport network from a single spatial dimension to a dual spatial and temporal dimension. Since 2010, air transportation has been rapidly developed, and a dense network of air lines has been formed, and the number of flights has gradually reached saturation. In view of this, the construction of the flight wave can optimize the flight time resource of the airport from the time level, and can improve the connectivity of the airport from the space level, which is beneficial to improving the efficiency of the whole air transportation network. At present, the research related to the situation generally considers that the resource allocation of the time and the spatial layout of the transit flight should be important factors for improving the connectivity in the rapid development stage of the aviation. However, in the current situation, only a few studies are focused on the transit capability and the flight wave system of the airport, and the conceptual understanding of the flight wave is biased, so that the distribution fluctuation (including peaks and troughs) of the number of flights at the moment is mistaken for the flight wave, and the link of the transit between the flights is ignored, and the key problem of the formation of the flight wave of the terminal airport cannot be solved.
Therefore, a flight wave identification method for effectively solving the problem of matching the transit flights in the airport is needed to be provided, and the reasonable allocation of the flight transit resource maximization is realized.
Disclosure of Invention
The embodiment of the invention provides an airport flight wave identification method and system based on transit flights, which are used for solving the problems that arriving flights and departing flights cannot be effectively identified and matched in the prior art, and an accurate flight wave identification system is further established.
In a first aspect, an embodiment of the present invention provides an airport flight wave identification method based on a transit flight, including:
acquiring a flight schedule of an airport to be identified;
screening flights of which each arrival time or departure time falls into any time window from the flight schedule, and respectively creating an arrival flight data set and a departure flight data set corresponding to any time window;
based on the arrival flight data set and the departure flight data set corresponding to any time window, performing connectivity detection according to the type of the transit flights and a preset transit time interval to obtain the number of transit arrival flights and the number of transit departure flights corresponding to any time window;
and mining the change rule of the arriving wave and the departure wave based on the number of the transferable arriving flights and the number of the transferable departing flights corresponding to each time window to obtain the flight wave system identification result.
Preferably, the obtaining a flight schedule of the airport to be identified further comprises:
sequencing national airports based on the passenger throughput, and acquiring a plurality of airports to be identified with top passenger throughput ranking;
and screening the airline company to be identified with the largest number of the departure and landing flights at the airport to be identified based on the number of the departure and landing flights of the airline company at the airport to be identified, and acquiring a flight schedule of the airline company to be identified.
Preferably, the flight schedule specifically includes a flight number, a departure airport, an arrival airport, a departure time, an arrival time, and the like.
Preferably, the screening of flights from the flight schedule table, each arrival time or departure time of which falls into any time window, and creating an arrival flight data set and a departure flight data set corresponding to any time window respectively further include:
setting a plurality of time windows; the time windows are uniformly distributed in a preset time period;
wherein the time center point of the kth time window isThe kth time window isIminMinimum turnaround time interval for international flight, ImaxIs internationalFlight maximum turnaround time interval, DminMinimum turnaround time interval for domestic flights, DmaxThe maximum transfer time interval for domestic flights.
Preferably, the performing connectivity detection based on the arrival flight data set and the departure flight data set corresponding to any time window according to a transfer flight type and a preset transfer time interval to obtain the transferable arrival flight number and the transferable departure flight number corresponding to any time window specifically includes:
setting arriving flight information asThe departure flight information isWherein a isd,aa,td,taRespectively representing departure airport, arrival airport, departure time and arrival time;
calculating the number A of transferable arriving flights in the kth time windowk
Calculating the number D of the transferable departure flights in the kth time windowk
Preferably, the calculation of the number a of transferable arriving flights in the kth time windowkThe method specifically comprises the following steps:
for international arriving flightsIf in the departure flight data set FdThere is one international departure flightDeparture time ofThe international arriving flight is the alternative flight and the number of available flights AkAdding 1, otherwise AkThe change is not changed;
for domestic arriving flightsIf in the departure flight data set FdThere is one international departure flightDeparture time ofOr there is one domestic departure flight vectorDeparture time ofThe domestic arriving flight is the optional flight and can transit the arriving flight number AkAdding 1, otherwise AkAnd is not changed.
Preferably, the calculation of the number of departable flights D in the kth time windowkThe method specifically comprises the following steps:
for international departure flightIf in the arriving flight data set FaThere is one international arrival flightTime of arrival ofThe international departure flight is an optional flight and can transfer the number D of departure flightskAdding 1, otherwise DkThe change is not changed;
for domestic departure flightIf in the arriving flight data set FaThere is one passInternational arriving flightTime of arrival ofOr there is a domestic arrival flight Time of arrival ofThe domestic departure flight is the optional flight and the number D of the departures can be transferredkAdding 1, otherwise DkAnd is not changed.
In a second aspect, an embodiment of the present invention provides an airport flight wave identification system based on a transit flight, including:
the acquisition module is used for acquiring a flight schedule of the airport to be identified;
the screening module is used for screening flights of which each arrival time or departure time falls into any time window from the flight schedule and respectively creating an arrival flight data set and a departure flight data set corresponding to any time window;
the calculation module is used for carrying out connectivity detection according to the type of the transfer flight and a preset transfer time interval based on the arrival flight data set and the departure flight data set corresponding to any time window to obtain the transferable arrival flight number and the transferable departure flight number corresponding to any time window;
and the identification module is used for mining the change rule of the arriving wave and the departure wave based on the number of the transferable arriving flights and the number of the transferable departing flights corresponding to each time window and acquiring the identification result of the flight wave system.
In a third aspect, an embodiment of the present invention provides an electronic device, including:
a memory, a processor and a computer program stored on the memory and operable on the processor, the processor when executing the program implementing the steps of any of the method for transit flight based airport flight wave identification.
In a fourth aspect, an embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements any one of the steps of the method for airport flight wave identification based on transit flights.
According to the airport flight wave identification method and system based on the transit flights, the arrival flights and the departure flights meeting the corresponding conditions are screened in the time window range, the effective transit connection flight data sets are established, the change characteristics of the arrival waves and the departure waves are analyzed and mined, the flight wave system is further identified, and the accuracy of flight wave identification is greatly improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flowchart of an airport flight wave identification method based on a transit flight according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a time window provided by an embodiment of the present invention;
FIG. 3 is a flowchart illustrating a procedure for determining a transferable flight number according to an embodiment of the present invention;
FIG. 4 is an exemplary illustration of flight waves at various airports identified in accordance with an embodiment of the present invention;
fig. 5 is a structural diagram of an airport flight wave identification system based on transit flights according to an embodiment of the present invention;
fig. 6 is a block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a flowchart of an airport flight wave identification method based on a transit flight according to an embodiment of the present invention, as shown in fig. 1, including:
s1, acquiring a flight schedule of the airport to be identified;
s2, screening flights of which each arrival time or departure time falls into any time window from the flight schedule, and respectively creating arrival flight data sets and departure flight data sets corresponding to the any time window;
s3, based on the arrival flight data set and the departure flight data set corresponding to any time window, performing connectivity detection according to the type of the transfer flight and the preset transfer time interval to obtain the transferable arrival flight number and the transferable departure flight number corresponding to any time window;
s4, mining the change rule of the arriving wave and the departure wave based on the number of the transferable arriving flights and the number of the transferable departing flights corresponding to each time window, and obtaining the flight wave system identification result.
Specifically, a flight schedule of an airport to be identified, which is prepared to establish a flight wave system, is obtained, the arrival time of each arrival flight of the airport and the departure time of each departure flight from the airport are obtained from the flight schedule, the arrival time information and the departure time information are screened, once the arrival time information and the departure time information fall into any time window range, the corresponding arrival flights and departure flights are respectively placed into an arrival flight data set and a departure flight data set, the transit connectivity detection is carried out on the two sets according to the transit flight type and the preset transit interval under a specific scene, the number of transit arrival flights and the number of transit departure flights in any time window range are further obtained, and finally, based on the obtained number of transit arrival flights and the number of transit departure flights, as the time windows are multiple, therefore, the corresponding relation between the number of the transferable arriving flights and the number of the transferable departing flights and the time can be established, namely, a time curve graph of the distribution of the number of the transferable arriving flights and the number of the transferable departing flights in a longer time period is drawn, whether the arriving wave and the departing wave are synchronous or not is judged according to the time curve graph, and the wave crests and the wave troughs are regularly distributed in the time periods. And acquiring the recognition result of the airport flight wave system according to the corresponding relation, and judging whether the airline company forms the flight wave system at a certain airport.
According to the embodiment of the invention, the arriving flight and the departing flight meeting the corresponding conditions are screened in the time window range, the effective transfer connection flight data set is established, the change characteristics of the arriving wave and the departing wave are analyzed and mined, the flight wave system is further identified, and the accuracy of flight wave identification is greatly improved.
On the basis of the above embodiment, the obtaining a flight schedule of the airport to be identified further includes:
screening national airports based on the passenger throughput, and acquiring a plurality of airports to be identified with the top passenger throughput rank;
and screening the airline company to be identified with the largest number of the departure and landing flights at the airport to be identified based on the number of the departure and landing flights of the airline company at the airport to be identified, and acquiring a flight schedule of the airline company to be identified.
The flight schedule specifically includes a flight number, a departure airport, an arrival airport, a departure time, an arrival time, and the like.
Specifically, prior to establishing the flight wave system, the relevant information and data are initially screened. The first is the hub airport to be identified, i.e. the airport to be identified. Because the airport has larger passenger throughput which is an important basis for constructing flight waves, the national airport passenger throughput is obtained according to data such as statistical civil aviation, traffic statistics bulletin of various regions, Chinese city statistics yearbook and the like, and the hub airport to be identified is screened according to the passenger throughput. According to the embodiment of the invention, the airport with the top 10 ranking in China is screened as the hub airport to be identified according to the throughput of the airport passengers.
And further screening the comprehensive transport capacity of each airline company within the range of the selected hub airport to be identified. Research shows that only large airlines have the capacity of constructing a flight wave system at a hub airport, so that the embodiment of the invention acquires the number of flights executed by each airline company of the hub airport according to a national flight schedule, determines several large airlines ranked at the top according to the number of the flights, and screens flight schedule data of the large airlines, including information such as a flight number, a departure airport, an arrival airport, departure time, arrival time and the like.
On the basis of the foregoing embodiment, the method further includes, before step S2:
setting a plurality of time windows; the time windows are uniformly distributed in a preset time period;
wherein the time center point of the kth time window isThe kth time window isIminMinimum turnaround time interval for international flight, ImaxFor the maximum flight transfer interval of an international flight, DminMinimum turnaround time interval for domestic flights, DmaxThe maximum transfer time interval for domestic flights.
Specifically, the time window is defined by a time center and a time interval between the time center and the time of the engine, and the time included in the time window is set to be the time center tcIs distributed in an axisymmetric way. Firstly, considering the time required by passenger to transfer to the airplane, respectively setting a minimum transfer time and a maximum transfer time, wherein the minimum transfer timeThe flight time is to ensure that the passenger has enough time to transfer, and the maximum flight time is to reduce the uncertainty of waiting for the passenger. Then classifying the flights into international flights and domestic flights, and setting the maximum transfer time of the international flights as ImaxMinimum turnaround time is Imin(ii) a The maximum transfer time of domestic flights is DmaxMinimum turnaround time is Dmin. Fig. 2 is a schematic diagram of a time window according to an embodiment of the present invention, and as shown in fig. 2, the time points in the time window are defined according to the following:
(1) the earliest international arrival flight at t1At the moment, the transfer flight can be at the earliest time t6From which it may be at the latest at time t7Starting with tcIs a center of and t1The symmetrical time points are set as t8
(2) With tcAs a center, the earliest domestic arrival flight at t3At time, the transit flight may be at time t at the latest5Starting;
(3) with tcAs a center, the latest domestic arriving flight is at t4At the moment, the transfer flight can be at the earliest time t5And (5) starting.
After the setting of each time point is completed, a calculation formula of each time in the time window can be obtained as follows:
t1=tc+0.5Imin-Imax
t2=tc-0.5Imin
t3=tc+0.5Dmin-Dmax
t4=tc-0.5Dmin
t5=tc+0.5Dmin
t6=tc-0.5Dmin+Dmax
t7=tc+0.5Imin
t8=tc-0.5Imin+Imax
based on the concept of a flight wave, a flight wave system refers to a plurality of continuous flight waves formed by all flights of an airline at an airport for a long period of time, for example, one day. Setting two adjacent time centersAndis T minutes, the number of time centers in a day N is 1440/T, for the time centerCorresponding time window interval isI.e., [ t ]1,t8]. Generally, the transit time of international flights is longer than that of domestic flights, so the embodiment of the invention adopts the following data for calculation: t is 5min, Imin=90min,Imax=210min;Dmin=60min, Dmax=150min。
On the basis of the foregoing embodiment, in the method, step S3 specifically includes:
setting arriving flight information asThe departure flight information isWherein a isd,aa,td,taRespectively representing departure airport, arrival airport, departure time and arrival time;
calculating the number A of transferable arriving flights in the kth time windowk
Wherein for international arriving flightsIf in the departure flight data set FdThere is one international departure flightDeparture time ofThe international arriving flight is the alternative flight and the number of available flights AkAdding 1, otherwise AkThe change is not changed;
for domestic arriving flightsIf in the departure flight data set FdThere is one international departure flightDeparture time ofOr there is one domestic departure flight vectorDeparture time ofThe domestic arriving flight is the optional flight and can transit the arriving flight number AkAdding 1, otherwise AkAnd is not changed.
Calculating the number D of the transferable departure flights in the kth time windowk
Wherein for international departure flightsIf in the arriving flight data set FaThere is one international arrival flightTime of arrival ofThe international departure flight is an optional flight and can transfer the number D of departure flightskAdding 1, otherwise DkThe change is not changed;
for domestic departure flightIf in the arriving flight data set FaThere is one international arrival flightTime of arrival ofOr there is a domestic arrival flight Time of arrival ofThe domestic departure flight is the optional flight and the number D of the departures can be transferredkAdding 1, otherwise DkAnd is not changed.
Specifically, after setting a time window and each time point in the time window, the number of flights that can be transferred to and arrive in the k-th time window is recorded as AkAnd the number of departure flights in the kth time window is recorded as DkWhere k is 1,2, …, N. If at a plurality of successive time centersThere are a sufficient number of transit arrivals to flight a for the passenger to selectkAnd forward outgoing flight DkAn airline may be considered to be forming a flight wave system at that airport.
For transitive arrivalNumber of flights AkAnd the number D of transferable departure flightskAnd (5) respectively counting. Firstly, screening flights with arrival time or departure time falling into a time window in a flight schedule of a large airline company of a hub airport to be identified, and respectively creating arrival flights FaAnd departure flight FdAnd performing connectivity detection on each flight according to the type of the transit flight by using the two data sets. The terminal airport arrival flight is set asThe departure flight isWherein a isd,aa,td,taRespectively represent departure airport, arrival airport, departure time and arrival time, anIs the hub airport.
Firstly verifying arriving flight data set F one by oneaWhether each flight in (a) can be in the departure flight data set FdAnd finding out the departure flight which can be effectively connected with the departure flight. If present, then AkAdding 1, otherwise, keeping unchanged, and specifically following rules:
(1) international arriving flight transitivity determination
For international arriving flightsIf flight data set F is in departuredThere is a departure time for one outgoing flight2 Substitution into Imin=90min,Imax210min, i.e. The international arrival flight is the alternative flight and can be transferred to the arrival flight number AkAdding 1, otherwise AkAnd is not changed.
(2) Domestic arriving flight transitivity determination
For domestic arriving flightsIf flight data set F is in departuredThere is a departure time for an international departure flight2 Substitution into Imin=90min,Imax210min, i.e.Or there is a departure time for a domestic departure flight2Substitution into Dmin=60min,Dmax150min, that isThe domestic arriving flight is the optional flight and can transit the arriving flight number AkAdding 1, otherwise AkAnd is not changed.
Verifying the departure flight data set F one by onedWhether each flight in (a) can arrive at the flight data set FaAnd finding the arriving flight which can be effectively connected with the arriving flight. If present, then DkAdding 1, otherwise, keeping unchanged, and specifically following rules:
(1) international departure flight transitivity determination
For international departure flightIf flight data set F is arrivingaThere is an arrival time of one arrival flight1 Substitution into Imin=90min,Imax210min, i.e. The international departure flight is an optional flight and can transfer the number D of departure flightskAdding 1, otherwise DkAnd is not changed.
(2) Domestic departure flight transitivity judgment
For domestic departure flightIf flight data set F is arrivingaThere is an international arrival time for flight1 Substitution into Imin=90min,Imax210min, i.e.Or there is an arrival time for a domestic arrival flight1Substitution into Dmin=60min,Dmax150min, that isThe domestic departure flight is the optional flight and the number D of the departures can be transferredkAdding 1, otherwise DkAnd is not changed.
Fig. 3 is a flowchart of determining and calculating the number of transferable flights according to an embodiment of the present invention, and as shown in fig. 3, the foregoing calculation process is repeatedly executed until a of all time windowskAnd DkAnd (5) finishing the calculation.
Obtaining A of all time windowskAnd DkThen, the transit arrival flight A is drawnkAnd forward outgoing flight DkAnd the time curve is used for extracting the characteristics of the arrival wave and the departure wave, identifying the flight wave system result, namely judging whether the arrival wave and the departure wave are synchronous or not, and whether the phenomena of wave crests, wave troughs and the like occur regularly within a certain time period or not. Fig. 4 is an exemplary diagram of flight wave of each identified airport provided by the embodiment of the present invention, and as shown in fig. 4, data of two years 2010 and 2015 are selected, which shows that only 8 airports begin to appear in the country, and the flight wave architectures of only beijing capital, guangzhou white cloud, shanghai purdong and kunming long water are relatively clear. Wherein, Beijing capital and Guangzhou white cloud airport presents a flight wave system of four-in and four-out, and the wave crest and the wave trough present a periodic continuous distribution rule from 9 am to 9 pm. And moreover, a flight wave system of three-in three-out is constructed in Pudong and Kunming long water farms in Shanghai. Flight waves of the Shanghai Pudong airport are distributed between 9-12 am, 4-6 pm and 8-10 pm. Flight waves of the Kunming airport are distributed in 3 time periods in the morning, the noon and the evening. Although the Cheng Zhen Bao, Shanghai hong bridge and Xian Yangyang airport present a certain number of flight waves, the flight wave architecture is unclear, the wave crests and the wave troughs cannot be identified, and the flight wave architecture is still imperfect.
According to the embodiment of the invention, the arriving flight and the departing flight meeting the corresponding conditions are screened in the time window range, the effective transfer connection flight data set is established, the flight wave system is further identified, the research on the connectivity of the hub airport is expanded from the space level to the space two-dimensional level, the airport flight wave structure can be accurately reflected, the contribution strategy is provided for airlines, aviation unions, airports, air pipes and the like in the aspects of time resource allocation, space distribution and the like, and the accuracy of flight wave identification is greatly improved.
Fig. 5 is a structural diagram of an airport flight wave identification system based on transit flights according to an embodiment of the present invention, as shown in fig. 5, including: an acquisition module 51, a screening module 52, a calculation module 53 and an identification module 54; wherein:
the obtaining module 51 is configured to obtain a flight schedule of an airport to be identified; the screening module 52 is configured to screen flights from the flight schedule, each arrival time or departure time of which falls into any time window, and create an arrival flight data set and a departure flight data set corresponding to the any time window respectively; the calculation module 53 is configured to perform connectivity detection according to the type of the transfer flight and a preset transfer time interval based on the arrival flight data set and the departure flight data set corresponding to any time window to obtain the number of transferable arrival flights and the number of transferable departure flights corresponding to any time window; the identification module 54 is configured to mine a change rule of an arrival wave and a departure wave based on the number of transferable arrival flights and the number of transferable departure flights corresponding to each time window, and obtain a flight wave system identification result.
The system provided by the embodiment of the present invention is used for executing the corresponding method, the specific implementation manner of the system is consistent with the implementation manner of the method, and the related algorithm flow is the same as the algorithm flow of the corresponding method, which is not described herein again.
According to the embodiment of the invention, the arriving flight and the departing flight meeting the corresponding conditions are screened in the time window range, the effective transfer connection flight data set is established, the flight wave system is further identified, the variation characteristics of the arriving wave and the departing wave are analyzed and mined, and the accuracy of flight wave identification is greatly improved.
On the basis of the above embodiment, the system further includes: the system comprises a first pre-screening module and a second pre-screening module; wherein:
the first pre-screening module is used for screening nationwide airports based on the passenger throughput to obtain a plurality of airports to be identified; and the second pre-screening module is used for screening a plurality of airlines to be identified based on the number of the departure and landing flights of the airlines of the airport to be identified and acquiring a flight schedule of the airlines to be identified.
The flight schedule specifically includes a flight number, a departure airport, an arrival airport, a departure time, an arrival time, and the like.
On the basis of the above embodiment, the system further includes a setting module, wherein:
the setting module is used for setting a plurality of time windows; the time windows are uniformly distributed in a preset time period; wherein the time center point of the kth time window isThe kth time window isIminMinimum turnaround time interval for international flight, ImaxFor the maximum flight transfer interval of an international flight, DminMinimum turnaround time interval for domestic flights, DmaxThe maximum transfer time interval for domestic flights.
On the basis of the above embodiment, the calculating module 53 specifically includes:
for setting arriving flight information asThe departure flight information isWherein a isd,aa,td,taRespectively representing departure airport, arrival airport, departure time and arrival time;
calculating the number A of transferable arriving flights in the Kth time windowk
Wherein for international arriving flightsIf in the departure flight data set FdThere is one international departure flightDeparture time ofThe international arriving flight is the alternative flight and the number of available flights AkAdding 1, otherwise AkThe change is not changed;
for domestic arriving flightsIf in the departure flight data set FdThere is one international departure flightDeparture time ofOr there is one domestic departure flight Departure time ofThe domestic arriving flight is the optional flight and can transit the arriving flight number AkAdding 1, otherwise AkAnd is not changed.
Calculating the number D of the transferable departure flights in the Kth time windowk
Wherein for international departure flightsIf in the arriving flight data set FaThere is one international arrival flightTime of arrival ofThe international departure flight is an optional flight and can transfer the number D of departure flightskAdding 1, otherwise DkThe change is not changed;
for domestic departure flightIf in the arriving flight data set FaThere is one international arrival flightTime of arrival ofOr there is a domestic arrival flight Time of arrival ofThe domestic departure flight is the optional flight and the number D of the departures can be transferredkAdding 1, otherwise DkAnd is not changed.
The system provided by the embodiment of the present invention is used for executing the corresponding method, the specific implementation manner of the system is consistent with the implementation manner of the method, and the related algorithm flow is the same as the algorithm flow of the corresponding method, which is not described herein again.
According to the embodiment of the invention, the arriving flight and the departing flight meeting the corresponding conditions are screened in the time window range, the effective transfer connection flight data set is established, the flight wave system is further identified, the research on the connectivity of the hub airport is expanded from the space level to the space two-dimensional level, the airport flight wave mechanism can be accurately reflected, the contribution strategy is provided for airlines, aviation unions, airports, air pipes and the like in the aspects of time resource allocation, space distribution and the like, and the accuracy of flight wave identification is greatly improved.
Fig. 6 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 6: a processor (processor)610, a communication Interface (Communications Interface)620, a memory (memory)630 and a communication bus 640, wherein the processor 610, the communication Interface 620 and the memory 630 communicate with each other via the communication bus 640. The processor 610 may call logic instructions in the memory 630 to perform the following method: acquiring a flight schedule of an airport to be identified; screening flights of which each arrival time or departure time falls into any time window from the flight schedule, and respectively creating an arrival flight data set and a departure flight data set corresponding to any time window; based on the arrival flight data set and the departure flight data set corresponding to any time window, performing connectivity detection according to the type of the transit flights and a preset transit time interval to obtain the number of transit arrival flights and the number of transit departure flights corresponding to any time window; and mining the change rule of the arriving wave and the departure wave based on the number of the transferable arriving flights and the number of the transferable departing flights corresponding to each time window to obtain the flight wave system identification result.
In addition, the logic instructions in the memory 630 may be implemented in software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented to perform the transmission method provided in the foregoing embodiments when executed by a processor, and for example, the method includes: acquiring a flight schedule of an airport to be identified; screening flights of which each arrival time or departure time falls into any time window from the flight schedule, and respectively creating an arrival flight data set and a departure flight data set corresponding to any time window; based on the arrival flight data set and the departure flight data set corresponding to any time window, performing connectivity detection according to the type of the transit flights and a preset transit time interval to obtain the number of transit arrival flights and the number of transit departure flights corresponding to any time window; and mining the change rule of the arriving wave and the departure wave based on the number of the transferable arriving flights and the number of the transferable departing flights corresponding to each time window to obtain the flight wave system identification result.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. An airport flight wave identification method based on transit flights is characterized by comprising the following steps:
acquiring a flight schedule of an airport to be identified;
screening flights of which each arrival time or departure time falls into any time window from the flight schedule, and respectively creating an arrival flight data set and a departure flight data set corresponding to any time window;
based on the arrival flight data set and the departure flight data set corresponding to any time window, performing connectivity detection according to the type of the transit flights and a preset transit time interval to obtain the number of transit arrival flights and the number of transit departure flights corresponding to any time window;
and mining the change rule of the arriving wave and the departure wave based on the number of the transferable arriving flights and the number of the transferable departing flights corresponding to each time window to obtain the flight wave system identification result.
2. The method of claim 1, wherein the obtaining of the flight schedule of the airport to be identified further comprises:
sequencing national airports based on the passenger throughput, and acquiring a plurality of airports to be identified with top passenger throughput ranking;
and screening the airline company to be identified with the largest number of the departure and landing flights at the airport to be identified based on the number of the departure and landing flights of the airline company at the airport to be identified, and acquiring a flight schedule of the airline company to be identified.
3. The method as claimed in claim 1 or 2, wherein the flight schedule includes flight number, departure airport, arrival airport, departure time and arrival time.
4. The method as claimed in claim 1, wherein the method for identifying airport flight waves based on transit flights further comprises the steps of screening flights from the flight schedule, each arrival time or departure time of which falls into any time window, and creating an arrival flight data set and a departure flight data set corresponding to any time window, respectively, and then:
setting a plurality of time windows; the time windows are uniformly distributed in a preset time period;
wherein the time center point of the kth time window isThe kth time window isIminMinimum turnaround time interval for international flight, ImaxFor the maximum flight transfer interval of an international flight, DminMinimum turnaround time interval for domestic flights, DmaxThe maximum transfer time interval for domestic flights.
5. The method according to claim 1, wherein the connectivity detection is performed according to a transit flight type and a preset transit time interval based on the arrival flight data set and the departure flight data set corresponding to any time window to obtain the number of transit arrival flights and the number of transit departure flights corresponding to any time window, and specifically includes:
setting arriving flight information asThe departure flight information is Wherein a isd,aa,td,taRespectively representing departure airport, arrival airport, departure time and arrival time;
calculating the number A of transferable arriving flights in the kth time windowk
Calculating the number D of the transferable departure flights in the kth time windowk
6. The method as claimed in claim 5, wherein the calculation of the number A of transferable arriving flights in the kth time window is performedkThe method specifically comprises the following steps:
for international arriving flightsIf in the departure flight data set FdThere is one international departure flightDeparture time ofThe international arriving flight is the alternative flight and the number of available flights AkAdding 1, otherwise AkThe change is not changed;
for domestic arriving flightsIf in the departure flight data set FdThere is one international departure flightDeparture time ofOr there is one domestic departure flightDeparture time ofThe domestic arriving flight is the optional flight and can transit the arriving flight number AkAdding 1, otherwise AkAnd is not changed.
7. The method as claimed in claim 5, wherein the calculation of the number of transferable flights D in the kth time windowkThe method specifically comprises the following steps:
for international departure flightIf in the arriving flight data set FaThere is one international arrival flightTime of arrival ofThe international departure flight is an optional flight and can transfer the number D of departure flightskAdding 1, otherwise DkThe change is not changed;
for domestic departure flightIf in the arriving flight data set FaThere is one international arrival flightTime of arrival ofOr there is a domestic arrival flightTime of arrival ofThe domestic departure flight is the optional flight and the number D of the departures can be transferredkAdding 1, otherwise DkAnd is not changed.
8. An airport flight wave identification system based on transit flights, comprising:
the acquisition module is used for acquiring a flight schedule of the airport to be identified;
the screening module is used for screening flights of which each arrival time or departure time falls into any time window from the flight schedule and respectively creating an arrival flight data set and a departure flight data set corresponding to any time window;
the calculation module is used for carrying out connectivity detection according to the type of the transfer flight and a preset transfer time interval based on the arrival flight data set and the departure flight data set corresponding to any time window to obtain the transferable arrival flight number and the transferable departure flight number corresponding to any time window;
and the identification module is used for mining the change rule of the arriving wave and the departure wave based on the number of the transferable arriving flights and the number of the transferable departing flights corresponding to each time window and acquiring the identification result of the flight wave system.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps of a method for transit flight based airport flight wave identification as claimed in any one of claims 1 to 7.
10. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the steps of a method for transit flight based airport flight wave identification according to any one of claims 1 to 7.
CN201910688256.9A 2019-07-29 2019-07-29 Airport flight wave identification method and system based on transit flight Pending CN110619453A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114299764A (en) * 2021-12-17 2022-04-08 南京莱斯信息技术股份有限公司 Linkage change consistency method for civil aviation flight time plan and advance flight plan

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106295872A (en) * 2016-08-05 2017-01-04 中国民用航空总局第二研究所 The data processing method of air station flight ripple based on maximum transfer machine meeting and device
CN106529862A (en) * 2016-10-25 2017-03-22 合肥飞友网络科技有限公司 Method for evaluating airport transit level on the basis of operation connectivity

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106295872A (en) * 2016-08-05 2017-01-04 中国民用航空总局第二研究所 The data processing method of air station flight ripple based on maximum transfer machine meeting and device
CN106529862A (en) * 2016-10-25 2017-03-22 合肥飞友网络科技有限公司 Method for evaluating airport transit level on the basis of operation connectivity

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
黄洁等: "枢纽机场的航班波体系结构及其喂给航线的空间格局研究", 《地理科学》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114299764A (en) * 2021-12-17 2022-04-08 南京莱斯信息技术股份有限公司 Linkage change consistency method for civil aviation flight time plan and advance flight plan
CN114299764B (en) * 2021-12-17 2022-11-08 南京莱斯信息技术股份有限公司 Linkage change consistency method for civil aviation flight time plan and advance flight plan

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